204 Infos zu Sören Pirk

5 Aktuelle Nachrichten

Summer School by Sören Pirk Content based document structure analysis by Andreas Stoffel Document cards: A top trump visualization for documents

Suhani Vora, Anelia Angelova, Soeren Pirk, Reza Majhourian, Future Semantic Segmentation Leveraging 3D Information (extended abstract PDF); Clara ...

— ... efforts in plant modeling concentrate on the dynamic behavior by simulating the physics response of plants," said Sören Pirk, ... › news-...

Hey, thought I'd share this here Preview of tree and foliage creation and layout tools now available on Gumroad. I've released them as

9 Profile in Sozialen Netzwerken

Sören Pirks berufliches Profil anzeigen LinkedIn ist das weltweit größte berufliche Netzwerk, das Fach- und Führungskräften wie Sören Pirk dabei hilft, interne ...

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› author

GitHub is where s-pirk builds software.

12 Projekte

44 lines (32 with data), 969 Bytes //Author: Sören Pirk //Date: #version 330 core #define VERT_POSITION 0 #define VERT_NORMAL 1 #define

Sören Pirk Till Niese1 Oliver Deussen Boris Neubert2. 1University of Konstanz, Germany. 2École Polytechnique Fédérale de Lausanne, Switzerland ...

Detailed Description. The Camera class offers a simple camera which can be moved through the scene. Code is in parts by Sören Pirk, Uni Konstanz.

Modeling Plant Life in Computer Graphics Sören Pirk 1 Bedrich Benes 2 Takashi Ijiri 3 Yangyan Li 1,4 Oliver Deussen 5 Baoquan Chen 4

13 Bücher zum Namen

Soeren Pirk. Author page based on publicly available paper data. 3. papers with code. 5. papers. 3. results. Vincent Casser · Soeren Pirk · Reza Mahjourian.

› soren-p...

Modeling Long-horizon Tasks as Sequential Interaction Landscapes · Soeren Pirk, Karol Hausman, Alexander Toshev, Mohi Khansari. Keywords Abstract › papertalks

Title, Texture-lobes for Tree Modeling. Authors, Yotam Livny, Sören Pirk, Zhanglin Cheng, Feilong Yan, Oliver Deussen, Daniel Cohen-Or, Baoquan Chen. Published, Export Citation, BiBTeX EndNote RefMan ...

23 Dokumente

Understanding and Exploiting Object Interaction Landscapes. Authors: Sören Pirk, Vojtech Krs, Kaimo Hu, Suren Deepak Rajasekaran, Hao Kang, Bedrich Benes, Yusuke Yoshiyasu, Leonidas J Guibas. Abstract: Interactions play a key role in understanding objects and scenes, for both virtual and real world agents.

Efficient Processing of Plant Life in Computer Graphics by Sören Pirk( ... Plastic Trees Interactive Self-Adapting Botanical Tree Models by Sören Pirk( ) › identities

Authors:Vincent Casser, Soeren Pirk, Reza Mahjourian, Anelia Angelova. (Submitted on 15 Nov 2018). Abstract: Learning to predict scene ...

von H Shao · · Zitiert von: 3 — Authors. Han Shao, Tassilo Kugelstadt, Torsten Hädrich, Wojtek Palubicki, Jan Bender, Soeren Pirk, Dominik L Michels ... › hash

34 Wissenschaftliche Publikationen

Oliver Deussen, Thomas Lindemeier, Sören Pirk, and Mark Tautzenberger; E-David: Wissenschaftlicher Versuch und malendes Monstrum. In Zufallszwänge ...

Accurately Solving Physical Systems with Graph Learning. Han Shao, Tassilo Kugelstadt, Wojciech Palubicki, Jan Bender, Sören Pirk, Dominik L. Michels. arXiv. Iterative solvers are widely used to accurately simulate physical systems. These solvers require initial guesses to generate a sequence of improving approximate solutions.

List of computer science publications by BibTeX records: Sören Pirk

Vincent Casser, Sören Pirk, Reza Mahjourian, Anelia Angelova: Depth Prediction without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos. AAAI 2019:

2 Allgemeine Veröffentlichungen

Rui Ma* 1,2 Akshay Gadi Patil* 1 Matthew Fisher 3 Manyi Li 4,1 Sören Pirk 5 Binh-Son Hua 6 Sai-Kit Yeung 7 Xin Tong 8 Leonidas Guibas 5 Hao Zhang 1 1 Simon Fraser University 2 AltumView Systems Inc. 3 Adobe Research 4 Shandong University 5 Stanford University 6 University of Tokyo 7 Hong Kong University of Science and Technology 8 Microsoft Research Asia

Yangyan Li, Soeren Pirk, Hao Su, Charles R. Qi, and Leonidas J. Guibas. FPNN: Field Probing Neural Networks for 3D Data. NIPS Charles R. Qi, Hao Su, Matthias Niessner, Angela Dai, Mengyuan Yan, and Leonidas J. Guibas. Volumetric and Multi-View. CNNs for Object Classification on 3D Data.

9 Meinungen & Artikel

— Ever wonder how people get started in #CG? Longtime SIGGRAPH contributor and participant Sören Pirk talks to us about his. › siggraph › status

e-David was developed by Prof. Dr. Oliver Deussen, Thomas Lindemeier, Mark Tautzenberger, and Dr. Sören Pirk of the Department of Computer and Information Science. The goal for the project was to build a robot that mimics the manual painting process: painting in iterations until the desired image is achieved.

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Learning to predict scene depth from RGB inputs is a challenging task both for indoor and outdoor robot navigation. In this work we address unsupervised...

95 Webfunde aus dem Netz

View Sören Pirk's professional profile on LinkedIn. LinkedIn is the world's largest business network, helping professionals like Sören Pirk discover inside ...

Soeren Pirk, Mohi Hansari, Corey Lynch, Pierre Sermanet; [#73] Event Segmentation in Streaming Videos without Labels using a Predictive ...

... [Prepint paper] [BibTex]. Sören Pirk, Vojtech Krs, Kaimo Hu, Suren Deepak Rajasekaran, Hao Kang, Bedrich Benes, Yusuke Yoshiyasu, Leonidas J Guibas.

Extended Version: Vincent Casser, Soeren Pirk, Reza Mahjourian, Anelia Angelova: Unsupervised Monocular Depth and Ego-motion Learning with Structure and ... › view

› expert

dear Soeren Pirk, I have seen your papers. All your works are wonderful. May i ask that these projects will you plan to become open source? i would like to learn ...

Array

Смотрите популярное видео Soeren Pirk на Смотреть видео бесплатно онлайн.

Sören Pirk, Michael F. Cohen, Oliver Deussen, Matt Uyttendaele, Johannes Kopf, SIGGRAPH Asia Technical Briefs Bibtex: Digital Reconstruction of ... Johannes Kopf, Michael F. Cohen, Dani Lischinski, Matt Uyttendaele, SIGGRAPH Bibtex: GPU-assisted ...

Jonathan Klein, Sören Pirk, and Dominik L. Michels Abstract We present a novel domain adaptation framework that uses morphologic segmentation to translate images from arbitrary input domains (real and synthetic) into a uniform output domain.

LuLus.com, Unauthorized use and/or duplication of this material without express and written permission from this blog's author and/or owner is strictly ...

Ondrej Stava 1, Sören Pirk 2, Julian Kratt 2, Baoquan Chen 3, Radomir Mech 1, Oliver Deussen 2, Bedrich Benes Adobe Systems Incorporated, USA 2 University of Konstanz, Germany 3 Shenzhen Institute of Advanced Technology, China 4 Purdue University, USA ...

[1] Yangyan Li, Sören Pirk, Hao Su, Charles Ruizhongtai Qi, Leonidas J. Guibas. FPNN: Field Probing Neural Networks for 3D Data. CoRR, abs [2] Charles Ruizhongtai Qi. Hao Su, Matthias Nießner, Angela Dai, Mengyuan Yan, Leonidas Guibas. Volumetric and Multi-View CNNs for Object Classification on 3D Data. CVPR,

Jonathan Klein, Sören Pirk, and Dominik L. Michels In: arXiv preprint, We present a novel domain adaptation framework that uses morphologic segmentation to translate images from arbitrary input domains (real and synthetic) into a uniform output domain.

Soeren Pirk,. Reza Mahjourian,. Anelia Angelova. [pdf]. [bibtex]. @InProceedings{Casser_2019_CVPR_Workshops, author = {Casser, Vincent and Pirk, Soeren ...

Sören Pirk, Universität Konstanz, Germany Marius Ioan Podean, Babes-Bolyai University of Cluj-Napoca, Romania Alex Popa, Aalto University, Finland

This research was conducted by Vincent Casser, Soeren Pirk, Reza Mahjourian and Anelia Angelova. We would like to thank Ayzaan Wahid for ...

Vincent Casser Harvard University · Soeren Pirk Google · Reza Mahjourian University of Texas at Austin · Anelia Angelova Google ...

Sören Pirk: Google Inc., USA: Gerard Pons-Moll: Max Planck Institut für Informatik, Germany: Leonardo Scandolo: TU Delft, Netherlands: Johanna Schmidt: VRVis, Austria: Hubert P. H. Shum : Northumbria University, UK: Gurprit Singh: Max Planck Institut f�

... learning with structure and semantics, Vincent Casser (Harvard University); Soeren Pirk (Google); Reza Majhourian (UT Austin); Anelia Angelova (Google) › program